Recently, Fossil fuels have remained the dominant energy source, but their use has resulted in severe environmental challenges, including global warming and energy security. Electric mobility is a significant way to increase energy efficiency and cut CO2 emissions in the transportation industry. However, there is a lack of knowledge about the vehicle-specific elements that determine energy use. In this research, this paper investigated the effects of driving pattern parameters on energy consumption using commercial simulation software. Consequently, the test motorcycles are modeled using the AVL Cruise software to run on ECER40, WMTC, FPT 75, and NEDC driving cycles. The most important differences between these driving cycles are average speed, mode of acceleration and deceleration, test duration, and exhaust gas sample type. The vehicle's energy consumption was compared on each route and during the examined hours based on the data obtained from the simulation program. The study's findings indicate that driving habits substantially impact vehicle energy use. Therefore, each country should develop a driving cycle tailored to its traffic circumstances.